Joint modelling of brain cancer incidence and mortality using Bayesian age- and gender-specific shared component models
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DOI: 10.1007/s00477-018-1567-4
Abstract: Joint analyses of two or more related diseases bring advantages over individual studies to look into diseases with low incidence, or to disentangle spatial patterns by age-group and gender. Incidence and/or mortality are not homogeneously… read more here.
Keywords: incidence; shared component; age; gender ... See more keywords
A Bayesian spatial shared component model for identifying crime-general and crime-specific hotspots
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DOI: 10.1080/19475683.2020.1720290
Abstract: ABSTRACT The spatial patterning of crime hotspots provides place-based information for the design, allocation, and implementation of crime prevention policies and programmes. However, most spatial hotspot identification methods are univariate, analyse a single crime type,… read more here.
Keywords: crime specific; shared component; crime general; general crime ... See more keywords